KR102693782B1 - Method and apparatus for detecting multiple access accounts using similarity between nicknames - Google Patents

Abstract

According to some embodiments of the present disclosure, a method for detecting multiple access accounts using similarity between nicknames performed by a computing device is disclosed. The method may include: a step of obtaining a plurality of component information from a plurality of nickname information based on predetermined configuration unit information; a step of generating a nickname matrix using the plurality of component information; a step of determining a similarity between the nickname information using the nickname matrix; and a step of determining a similar nickname group using the similarity.

Description

{METHOD AND APPARATUS FOR DETECTING MULTIPLE ACCESS ACCOUNTS USING SIMILARITY BETWEEN NICKNAMES}

The present invention relates to the field of computer technology, and more specifically, to a method and device for detecting multiple access accounts using similarity between nicknames.

'Workshops', where game items are collected and sold for business purposes, became popular in PC MMORPGs in the late 90s and early 2000s as the scale of cash transactions grew. They disrupt the game economy by encouraging inflation within the game, causing ordinary users to feel deprived. Game companies have no choice but to assign separate management personnel to catch them, which in turn prevents them from focusing on content development and service improvement, leading to a decline in game quality.

In PC online games, dozens of PCs, space, and separate auto programs were required to operate a workshop, but most mobile games officially support auto-battle functions, and the scale of the place and equipment is smaller, so it is not uncommon for individuals, not organizations, to operate workshops. Mobile game workshops are smaller in scale and often do not use programs recognized by the game company, making them harder to detect than online game workshops. Mobile MMORPG game companies are trying various ways to eradicate illegal workshops in order to provide stable game services.

The classic method is to continuously monitor and block the workshop accounts. Most games use this method to sanction suspicious workshop accounts. In the past, in the days of PC online games, it was possible to track them just by looking for traces of unauthorized auto programs, but workshops that use only the game's built-in auto-battle function and some basic macro programs without these illegal programs require a slightly more cumbersome process. For example, cases where too many accounts are accessed or created from a single IP are first identified, and then the workshop accounts are identified by examining them in detail. However, this method requires a lot of time and money. Therefore, there is a demand for technology to simplify this process.

The present disclosure has been made in response to the aforementioned background technology, and provides a method and device for detecting multiple access accounts by utilizing similarity between nicknames.

According to some embodiments of the present disclosure for achieving the above-described task, a method for detecting multiple access accounts using similarity between nicknames performed by a computing device is disclosed. The method may include: a step of obtaining a plurality of component information from a plurality of nickname information based on predetermined configuration unit information; a step of generating a nickname matrix using the plurality of component information; a step of determining a similarity between the nickname information using the nickname matrix; and a step of determining a similar nickname group using the similarity.

Alternatively, the nickname matrix includes a plurality of vector information corresponding to each of the plurality of component information, and the similarity can be determined by the Jaccard distance between two vector information corresponding to two nickname information.

Alternatively, the component information may define the presence or absence of a component included in the predetermined configuration unit information in the corresponding nickname information.

Alternatively, the predetermined constituent unit information may include Korean vowels and consonants.

Alternatively, the predetermined configuration unit information may include English alphabets.

Alternatively, the predetermined configuration unit information may include Arabic numerals.

According to some embodiments of the present disclosure for achieving the above-described task, a computing device is disclosed which performs a method for detecting multiple access accounts by using similarity between nicknames. The device includes: a processor including at least one core; and a memory including program codes executable by the processor; wherein the processor: obtains a plurality of component information from a plurality of nickname information based on predetermined configuration unit information, generates a nickname matrix by using the plurality of component information, determines a similarity between the nickname information by using the nickname matrix, and determines a similar nickname group by using the similarity.

According to some embodiments of the present disclosure for achieving the above-described task, a computer program stored in a computer-readable storage medium is disclosed. When the computer program is executed on one or more processors, it performs operations for performing a method for detecting multiple access accounts by using similarity between nicknames, the method may include: a step of obtaining a plurality of component information from a plurality of nickname information based on predetermined configuration unit information; a step of generating a nickname matrix by using the plurality of component information; a step of determining a similarity between the nickname information by using the nickname matrix; and a step of determining a similar nickname group by using the similarity.

The present disclosure can provide a method and device for detecting multiple access accounts by using similarity between nicknames.

FIG. 1 is a block diagram of a computing device for performing a method of detecting multiple access accounts using similarity between nicknames according to some embodiments of the present disclosure.
FIG. 2 is a diagram illustrating a process for obtaining a plurality of component information from a plurality of nickname information according to some embodiments of the present disclosure.
FIG. 3 is a diagram illustrating a process for generating a nickname matrix using multiple component information according to some embodiments of the present disclosure.
FIG. 4 is a diagram illustrating a process for determining similarity between nickname information using a nickname matrix according to some embodiments of the present disclosure.
FIG. 5 is a flowchart of a method for detecting multiple access accounts using similarity between nicknames according to some embodiments of the present disclosure.
FIG. 6 is a simplified, general schematic diagram of an exemplary computing environment in which some embodiments of the present disclosure may be implemented.

Various embodiments are now described with reference to the drawings. In this specification, various descriptions are set forth to provide an understanding of the present disclosure. However, it will be apparent that these embodiments may be practiced without these specific descriptions.

Various embodiments are now described with reference to the drawings. In this specification, various descriptions are set forth to provide an understanding of the present disclosure. However, it will be apparent that these embodiments may be practiced without these specific descriptions.

The terms "component," "module," "system," and the like, as used herein, refer to a computer-related entity, hardware, firmware, software, a combination of software and hardware, or an execution of software. For example, a component may be, but is not limited to, a procedure running on a processor, a processor, an object, a thread of execution, a program, and/or a computer. For example, an application running on a computing device and the computing device may both be components. One or more components may reside within a processor and/or a thread of execution. A component may be localized within a single computer. A component may be distributed between two or more computers. Furthermore, such components may execute from various computer-readable media having various data structures stored therein. The components may communicate via local and/or remote processes, for example, by means of a signal having one or more data packets (e.g., data from one component interacting with another component in a local system, a distributed system, and/or data transmitted via a network such as the Internet to another system via the signal).

Additionally, the term "or" is intended to mean an inclusive "or" rather than an exclusive "or." That is, unless otherwise specified or clear from the context, "X employs A or B" is intended to mean either of the natural inclusive permutations. That is, if X employs A; X employs B; or X employs both A and B, "X employs A or B" can apply to any of these cases. Furthermore, the term "and/or" as used herein should be understood to refer to and include all possible combinations of one or more of the associated items listed.

Also, the terms "comprises" and/or "comprising" should be understood to mean the presence of the features and/or components. However, it should be understood that the terms "comprises" and/or "comprising" do not exclude the presence or addition of one or more other features, components, and/or groups thereof. Also, unless otherwise specified or clear from the context to refer to the singular form, the singular form as used in the specification and claims should generally be construed to mean "one or more."

And, the term "at least one of A or B" should be interpreted to mean "including only A", "including only B", or "combined in the composition of A and B".

Those skilled in the art should additionally recognize that the various illustrative logical blocks, configurations, modules, circuits, means, logics, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as combinations of electronic hardware, computer software, or both. To clearly illustrate the interchangeability of hardware and software, various illustrative components, blocks, configurations, means, logics, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application. However, such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.

The description of the disclosed embodiments is provided to enable a person skilled in the art to make or use the present invention. Various modifications to these embodiments will be apparent to a person skilled in the art. The general principles defined herein may be applied to other embodiments without departing from the scope of the present disclosure. Thus, the present invention is not limited to the embodiments disclosed herein. The present invention is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

According to some embodiments of the present disclosure, the present disclosure can provide a method and device for detecting multiple access accounts using similarity between nicknames. A 'workshop' that collects and sells game items for business uses a large number of multiple access accounts. As online games become popular, workshop accounts are rapidly created in large numbers, but investigation and sanctions on workshop accounts take a long time, and in the meantime, other workshops are continuously created. In addition, these workshop accounts are difficult to detect because they utilize IP bypass, virtual VM, and various hardware bypass tools. One characteristic of workshop accounts is that the nicknames of characters managed by a workshop are generally similar. Therefore, it may be possible to identify workshop accounts by visually checking the nicknames of similar characters. However, thousands of access accounts are created per hour, and even in the early morning, there are instances where access accounts that cannot be identified with the naked eye are created. When a new server is opened, several times more access accounts may be created, and there may be workshops that are active on multiple servers simultaneously. A method and device for detecting multiple access accounts using similarity between nicknames according to some embodiments of the present disclosure can quickly determine a group of similar nicknames suspected of being multiple access accounts. By quickly determining a group of similar nicknames primarily according to some embodiments of the present disclosure, the time and resources required in the process of identifying workplace accounts can be significantly reduced. Hereinafter, a method and device for detecting multiple access accounts using similarity between nicknames according to some embodiments of the present disclosure will be described with reference to the drawings.

FIG. 1 is a block diagram of a computing device for performing a method of detecting multiple access accounts using similarity between nicknames according to some embodiments of the present disclosure.

As illustrated in FIG. 1, the computing device (100) may include a processor (110), a memory (130), and a network unit (150). The configuration of the computing device (100) illustrated in FIG. 1 is merely a simplified example. In some embodiments of the present disclosure, the computing device (100) may include other configurations for performing a computing environment of the computing device (100), and only some of the disclosed configurations may constitute the computing device (100).

The processor (110) may be composed of one or more cores and may include a processor for data analysis and processing, such as a central processing unit (CPU), a general purpose graphics processing unit (GPGPU), or a tensor processing unit (TPU) of a computing device. The processor (110) may read a computer program stored in the memory (130) and perform data conversion, calculation, generation, etc. to perform a method for detecting multiple access accounts using similarity between nicknames according to some embodiments of the present disclosure.

According to some of the disclosures of the present disclosure, the processor (110) may perform steps for performing a method for detecting multiple access accounts using the similarity between nicknames described below. For example, the processor (110) may obtain a plurality of component information from a plurality of nickname information based on predetermined configuration unit information. The processor (110) may generate a nickname matrix using the plurality of component information. The processor (110) may determine a similarity between the nickname information using the nickname matrix. The processor (110) may determine a similar nickname group using the similarity. However, the present invention is not limited thereto, and the processor (110) may perform various steps for performing a method for detecting multiple access accounts using the similarity between nicknames.

In addition, the processor (110) may implement various units and modules for performing a method of detecting multiple access accounts by using the similarity between nicknames. For example, as described below with reference to FIGS. 2 to 4, the processor (110) may implement a component acquisition unit (200), a matrix generation unit (300), a similarity determination unit (400), and operations thereof. The component acquisition unit (200), the matrix generation unit (300), and the similarity determination unit (400) may be implemented to perform various operations implemented with general computer technology in addition to the operations described in this specification.

According to some embodiments of the present disclosure, the memory (130) may store any form of information generated or determined by the processor (110) and any form of information received by the network unit (150). For example, the memory (130) may store data generated in the process of detecting multiple access accounts using similarity between nicknames by the processor (110). In addition, the memory (130) may store data received from the outside, such as nickname information stored in another server or device by the processor (110). However, the present disclosure is not limited thereto, and the memory (130) may store various information for performing a method of detecting multiple access accounts using similarity between nicknames according to some embodiments of the present disclosure.

According to some embodiments of the present disclosure, the memory (130) may include at least one type of storage medium among a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (for example, an SD or XD memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Read-Only Memory (ROM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), a Programmable Read-Only Memory (PROM), a magnetic memory, a magnetic disk, and an optical disk. The computing device (100) may also operate in relation to web storage that performs the storage function of the memory (130) on the internet. The description of the memory described above is merely an example, and the present disclosure is not limited thereto.

The network unit (150) according to some embodiments of the present disclosure may use any form of known wired or wireless communication system.

The network unit (150) can transmit and receive information, user interface, etc. processed by the processor (110) through communication with another terminal. For example, the network unit (150) can provide a user interface generated by the processor (110) to a client (e.g., a user terminal). In addition, the network unit (150) can receive an external input from a user authorized as a client and transmit it to the processor (110). At this time, the processor (110) can process operations such as outputting, modifying, changing, and adding information provided through the user interface based on the external input of the user received from the network unit (150).

Specifically, for example, the network unit (150) can transmit and receive various information for performing a method for detecting multiple access accounts using similarity between nicknames according to some embodiments of the present disclosure. For example, the network unit (150) can receive one or more nickname information stored in a database. In addition, the network unit (150) can transmit some data generated in the process of performing a method for detecting multiple access accounts using similarity between nicknames described below to the outside for storing in a database. For example, the network unit (150) can transmit information about a similar nickname group determined according to some embodiments of the present disclosure to the outside.

Meanwhile, a computing device (100) according to some embodiments of the present disclosure may include a server as a computing system that transmits and receives information through communication with a client. At this time, the client may be any type of terminal that can access the server. For example, a computing device (100) that is a server may receive a query from a user terminal and generate a single information processing result corresponding to the query. In this case, the computing device (100) that is a server may provide a user interface including the processing result to the user terminal. At this time, the user terminal may output the user interface received from the computing device (100) that is a server and input or process information through interaction with a user.

In additional embodiments, the computing device (100) may include any form of terminal that receives data resources generated from any server and performs additional information processing.

FIG. 2 is a diagram illustrating a process for obtaining a plurality of component information from a plurality of nickname information according to some embodiments of the present disclosure.

Below, the operation of an exemplary component acquisition unit (200) implemented by the processor (110) is described with reference to FIG. 2.

According to some embodiments of the present disclosure, a component acquisition unit (200) can acquire a plurality of component information (20) from a plurality of nickname information (10) based on predetermined configuration unit information. The component information (20) can define the presence or absence of a component included in the predetermined configuration unit information in the corresponding nickname information.

Nickname information (10) may include various identification information. For example, nickname information (10) may include a character ID. Nickname information may be a combination of various types of letters, symbols, and numbers. For example, exemplary nickname information may be composed of a combination of English, Korean, and numbers.

The component information (20) can be obtained by analyzing the nickname information according to the predetermined component unit information. The exemplary predetermined component unit information can include as components the basic units of letters, symbols, and numbers that can constitute the nickname information (10). For example, if the nickname information (10) can be composed of English, Korean, and numbers, the predetermined component unit information can include as components Korean vowels and consonants, English alphabets, and Arabic numerals (or some of them).

The component acquisition unit (200) can acquire component information (20) representing a component included in nickname information among predetermined component unit information. For example, the component information (20) can define the presence or absence of a component included in the predetermined component unit information. In an exemplary embodiment, when the predetermined component unit information is Korean vowels and consonants, English alphabets, and Arabic numerals, an exemplary operation of the component acquisition unit (200) is described. When the nickname information (10) is 'game ID', the component acquisition unit (200) can acquire Korean vowels and consonants 'ㄱ', 'ㅇ', 'ㅁ', 'ㄷ', 'ㅔ', 'ㅣ', and 'ㅏ' included in the predetermined component unit information as component information (20). As another example, if the nickname information (10) is 'character 1q', the component acquisition unit (200) can acquire the Korean vowels and consonants 'ㅋ', 'ㄹ', 'ㄱ', 'ㅌ', 'ㅐ', 'ㅣ', 'ㅓ', the Arabic numeral '1', and the English alphabet 'q' included in the predetermined component unit information as the component information (20). Since the predetermined component unit information is configured as a basic unit, the computational process for determining similarity can be relatively simplified. However, the present invention is not limited thereto, and the predetermined component unit information can be defined in various ways. In addition, the component acquisition unit (200) can acquire the component information in various ways.

FIG. 3 is a diagram illustrating a process for generating a nickname matrix using multiple component information according to some embodiments of the present disclosure.

Below, the operation of an exemplary matrix generation unit (300) implemented by the processor (110) is described with reference to FIG. 3.

According to some embodiments of the present disclosure, the matrix generation unit (300) can generate a nickname matrix (30) using a plurality of component information. Here, the nickname matrix (30) can include a plurality of vector information corresponding to each of the plurality of component information (20).

To explain in detail, when a plurality of component information (20) is acquired, the matrix generation unit (300) can generate a nickname matrix (30) that converts the plurality of component information into a form that is easy to determine the similarity. For example, the nickname matrix (30) can include a plurality of vector information corresponding to each component information (31). When the component information (31) has a form that indicates the presence or absence of a component included in the nickname information among the predetermined configuration unit information (32), the vector information can include a vector that has a value (34) of '1' for a component included in the nickname information among the predetermined configuration unit information (32) and a value (33) of '0' for a component not included in the nickname information among the predetermined configuration unit information (32). However, the present invention is not limited thereto, and the nickname matrix (30) can have various forms that can determine the similarity between the nickname information.

FIG. 4 is a diagram illustrating a process for determining similarity between nickname information using a nickname matrix (30) according to some embodiments of the present disclosure.

Below, the operation of an exemplary similarity determination unit (400) implemented by the processor (110) is described with reference to FIG. 4.

According to some embodiments of the present disclosure, the similarity determination unit (400) can determine the similarity between nickname information using the nickname matrix (30). And the similarity determination unit (400) can determine a similar nickname group (40) using the similarity. Here, the similarity can be determined by the Jaccard Distance between two vector information corresponding to two nickname information.

To explain in detail, when a nickname matrix (30) having vector information on nickname information is generated, a similarity determination unit (400) can calculate the similarity between the plurality of nickname information to determine a similar nickname group (40) among the plurality of nickname information (10). For example, by determining the similarity between two vector information among the plurality of vector information included in the nickname matrix (30), the similarity between all or part of the nickname information can be determined. Here, the similarity can be determined by the Jaccard Distance (or may be referred to as the Jaccard Coefficient, the Jaccard Index, etc.) between the two vector information. The Jaccard Distance can be determined by dividing the intersection of the two sets by the union of the two sets, as in the following equation.

The Jacard distance can have a value between 0 and 1, and can have a characteristic that the more similar two sets are, the higher the value is, and the more dissimilar the two sets are, the lower the value is. The similarity determination unit (400) can determine a similar nickname group (40) by grouping nickname information whose Jacard distance is greater than a predetermined threshold value. However, the present invention is not limited thereto, and the similarity determination unit (400) can determine the similarity and similar nickname group in various ways.

When a similar nickname group (40) is determined, nickname information included in the similar nickname group (40) can be listed and used to determine whether each nickname information is related to a multiple access account. According to some embodiments of the present disclosure, a similar nickname group (40) that can be related to a multiple access account is quickly determined, and since the process of determining a sanction target corresponding to a workplace account is limited to the nickname information included in the similar nickname group (40), the time and resources required in the process of finding a workplace account can be significantly reduced.

FIG. 5 is a flowchart of a method for detecting multiple access accounts using similarity between nicknames according to some embodiments of the present disclosure.

According to some embodiments of the present disclosure, the method of the present disclosure may include a step (s100) of obtaining a plurality of component information from a plurality of nickname information based on predetermined component unit information. Alternatively, the component information may define whether a component is included in the predetermined component unit information in the corresponding nickname information. Alternatively, the predetermined component unit information may include Korean vowels and consonants. Alternatively, the predetermined component unit information may include English alphabets. Alternatively, the predetermined component unit information may include Arabic numerals.

According to some embodiments of the present disclosure, the method of the present disclosure may include a step (s200) of generating a nickname matrix using a plurality of component information. Here, the nickname matrix may include a plurality of vector information corresponding to each of the plurality of component information.

According to some embodiments of the present disclosure, the method of the present disclosure may include a step (s300) of determining a similarity between nickname information using a nickname matrix. Here, the similarity may be determined by a Jaccard distance between two vector information corresponding to two nickname information.

According to some embodiments of the present disclosure, the method of the present disclosure may include a step (s400) of determining a group of similar nicknames using similarity.

The steps according to some embodiments of the present disclosure described above are presented for illustrative purposes only, and some steps may be omitted or separate steps may be added. In addition, the steps described above may be performed in any order.

FIG. 6 is a simplified, general schematic diagram of an exemplary computing environment in which some embodiments of the present disclosure may be implemented.

Although the present disclosure has been described above as being generally implemented by a computing device, those skilled in the art will appreciate that the present disclosure may also be implemented in combination with computer-executable instructions and/or other program modules that may be executed on one or more computers and/or as a combination of hardware and software.

In general, program modules include routines, programs, components, data structures, and the like that perform particular tasks or implement particular abstract data types. Furthermore, those skilled in the art will appreciate that the methods of the present disclosure can be practiced with other computer system configurations, including single-processor or multiprocessor computer systems, minicomputers, mainframe computers, as well as personal computers, handheld computing devices, microprocessor-based or programmable consumer electronics, and the like, each of which may be operatively connected to one or more associated devices.

The described embodiments of the present disclosure can also be practiced in distributed computing environments where certain tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote memory storage devices.

Computers typically include a variety of computer-readable media. Any media that can be accessed by a computer can be a computer-readable media, and such computer-readable media includes both volatile and nonvolatile media, transitory and non-transitory media, removable and non-removable media. By way of example, and not limitation, computer-readable media can include computer-readable storage media and computer-readable transmission media. Computer-readable storage media includes both volatile and nonvolatile media, transitory and non-transitory media, removable and non-removable media implemented in any method or technology for storing information such as computer-readable instructions, data structures, program modules or other data. Computer-readable storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital video disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium that can be accessed by a computer and used to store the desired information.

Computer-readable transmission media typically includes any information delivery media that embodies computer-readable instructions, data structures, program modules, or other data in a modulated data signal, such as a carrier wave or other transport mechanism. The term modulated data signal means a signal that has one or more of its characteristics set or changed so as to encode information in the signal. By way of example, and not limitation, computer-readable transmission media includes wired media, such as a wired network or direct-wired connection, and wireless media, such as acoustic, RF, infrared, and other wireless media. Combinations of any of the above are also intended to be included within the scope of computer-readable transmission media.

An exemplary environment (4100) implementing various aspects of the present disclosure is illustrated including a computer (4102) including a processing unit (4104), a system memory (4106), and a system bus (4108). The system bus (4108) couples system components, including but not limited to the system memory (4106), to the processing unit (4104). The processing unit (4104) may be any of a variety of commercially available processors. Dual processors and other multiprocessor architectures may also be utilized as the processing unit (4104).

The system bus (4108) may be any of several types of bus structures that may additionally be interconnected to a memory bus, a peripheral bus, and a local bus using any of a variety of commercial bus architectures. The system memory (4106) includes read-only memory (ROM) (4110) and random access memory (RAM) (4112). A basic input/output system (BIOS) is stored in nonvolatile memory (4110), such as ROM, EPROM, EEPROM, and the BIOS contains basic routines that help transfer information between components within the computer (4102), such as during start-up. The RAM (4112) may also include high-speed RAM, such as static RAM, for caching data.

The computer (4102) also includes an internal hard disk drive (HDD) (4114) (e.g., EIDE, SATA)—which may also be configured for external use within a suitable chassis (not shown), a magnetic floppy disk drive (FDD) (4116) (e.g., for reading from or writing to a removable diskette (4118)), and an optical disk drive (4120) (e.g., for reading from or writing to a CD-ROM disk (4122) or other high capacity optical media such as a DVD). The hard disk drive (4114), the magnetic disk drive (4116), and the optical disk drive (4120) may be connected to the system bus (4108) by a hard disk drive interface (4124), a magnetic disk drive interface (4126), and an optical drive interface (4128), respectively. An interface (4124) for implementing an external drive includes at least one or both of Universal Serial Bus (USB) and IEEE 1394 interface technologies.

These drives and their associated computer-readable media provide nonvolatile storage of data, data structures, computer-executable instructions, and the like. In the case of the computer (4102), the drives and media correspond to storing any data in a suitable digital format. While the description of computer-readable media above has referred to HDDs, removable magnetic disks, and removable optical media such as CDs or DVDs, those skilled in the art will appreciate that other types of media readable by a computer, such as zip drives, magnetic cassettes, flash memory cards, cartridges, and the like, may also be used in the exemplary operating environment, and that any such media may contain computer-executable instructions for performing the methods of the present disclosure.

A number of program modules, including an operating system (4130), one or more application programs (4132), other program modules (4134), and program data (4136), may be stored in the drive and RAM (4112). All or portions of the operating system, applications, modules, and/or data may also be cached in RAM (4112). It will be appreciated that the present disclosure may be implemented in a variety of commercially available operating systems or combinations of operating systems.

A user may enter commands and information into the computer (4102) via one or more wired/wireless input devices, such as a keyboard (4138) and a pointing device such as a mouse (4140). Other input devices (not shown) may include a microphone, an IR remote control, a joystick, a game pad, a stylus pen, a touch screen, and the like. These and other input devices are often connected to the processing unit (4104) via an input device interface (4142) that is coupled to the system bus (4108), but may be connected by other interfaces such as a parallel port, an IEEE 1394 serial port, a game port, a USB port, an IR interface, and the like.

A monitor (4144) or other type of display device is also connected to the system bus (4108) via an interface, such as a video adapter (4146). In addition to the monitor (4144), the computer typically includes other peripheral output devices (not shown), such as speakers, a printer, and so on.

The computer (4102) may operate in a networked environment using logical connections to one or more remote computers, such as remote computer(s) (4148), via wired and/or wireless communications. The remote computer(s) (4148) may be a workstation, a computing device computer, a router, a personal computer, a portable computer, a microprocessor-based entertainment device, a peer device, or other conventional network node, and may generally include many or all of the components described for the computer (4102), but for simplicity, only the memory storage device (4150) is illustrated. The logical connections illustrated include wired/wireless connections to a local area network (LAN) (4152) and/or a larger network, such as a wide area network (WAN) (4154). Such LAN and WAN networking environments are common in offices and businesses, and facilitate enterprise-wide computer networks, such as intranets, all of which may be connected to a worldwide computer network, such as the Internet.

When used in a LAN networking environment, the computer (4102) is connected to the local network (4152) via a wired and/or wireless communications network interface or adapter (4156). The adapter (4156) may facilitate wired or wireless communications to the LAN (4152), which may also include a wireless access point installed therein for communicating with the wireless adapter (4156). When used in a WAN networking environment, the computer (4102) may include a modem (4158), be connected to a communications computing device on the WAN (4154), or have other means for establishing communications over the WAN (4154), such as via the Internet. The modem (4158), which may be internal or external and wired or wireless, is connected to the system bus (4108) via a serial port interface (4142). In a networked environment, program modules described for the computer (4102) or portions thereof may be stored in a remote memory/storage device (4150). It will be appreciated that the network connections depicted are exemplary and other means of establishing a communications link between the computers may be used.

The computer (4102) is configured to communicate with any wireless device or object that is configured and operates in wireless communication, such as a printer, a scanner, a desktop and/or portable computer, a portable data assistant (PDA), a communication satellite, any equipment or location associated with a wireless detectable tag, and a telephone. This includes at least Wi-Fi and Bluetooth wireless technologies. Accordingly, the communication may be a predefined structure as in a conventional network, or may simply be an ad hoc communication between at least two devices.

Wi-Fi (Wireless Fidelity) allows you to connect to the Internet and other things without wires. Wi-Fi is a wireless technology that allows devices, such as computers, to send and receive data, indoors and outdoors, anywhere within the coverage area of a base station, similar to a cell phone. Wi-Fi networks use a wireless technology called IEEE 802.11 (a, b, g, etc.) to provide secure, reliable, and high-speed wireless connections. Wi-Fi can be used to connect computers to each other, to the Internet, and to wired networks (using IEEE 802.3 or Ethernet). Wi-Fi networks can operate in the unlicensed 2.4 and 5 GHz radio bands, at data rates of, for example, 11 Mbps (802.11a) or 54 Mbps (802.11b), or in products that include both bands (dual band).

Those skilled in the art will appreciate that information and signals may be represented using any of a variety of different technologies and techniques. For example, the data, instructions, commands, information, signals, bits, symbols, and chips referenced in the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or particles, optical fields or particles, or any combination thereof.

Those skilled in the art will appreciate that the various illustrative logical blocks, modules, processors, means, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, various forms of programs or design code (referred to herein for convenience as software), or a combination of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Those skilled in the art may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.

The various embodiments presented herein can be implemented as a method, an apparatus, or an article of manufacture using standard programming and/or engineering techniques. The term article of manufacture includes a computer program, a carrier, or a medium accessible from any computer-readable storage device. For example, computer-readable storage media include, but are not limited to, magnetic storage devices (e.g., hard disks, floppy disks, magnetic strips, etc.), optical disks (e.g., CDs, DVDs, etc.), smart cards, and flash memory devices (e.g., EEPROMs, cards, sticks, key drives, etc.). Additionally, the various storage media presented herein include one or more devices and/or other machine-readable media for storing information.

It is to be understood that the specific order or hierarchy of steps in the processes presented is an example of exemplary approaches. It is to be understood that the specific order or hierarchy of steps in the processes may be rearranged within the scope of the present disclosure based on design priorities. The appended method claims provide elements of various steps in a sample order, but are not meant to be limited to the specific order or hierarchy presented.

The description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the disclosure. Various modifications to these embodiments will be apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the scope of the disclosure. Thus, the disclosure is not intended to be limited to the embodiments disclosed herein, but is to be construed in the widest scope consistent with the principles and novel features disclosed herein.

Claims (8)

A method for detecting multiple access accounts by utilizing similarity between nicknames performed by a computing device, the method comprising:
A step of obtaining a plurality of component information from a plurality of nickname information based on predetermined configuration unit information;
A step of generating a nickname matrix using the plurality of component information, wherein the nickname matrix includes a plurality of vector information corresponding to each of the plurality of component information;
A step of determining the similarity between nickname information using the above nickname matrix, wherein the similarity is determined by the Jaccard distance between two vector information corresponding to two nickname information;
A step of determining a group of similar nicknames using the above similarity; and
A step for determining an account to be sanctioned among the above similar nickname groups;
Including,
method.
delete In paragraph 1,
The above component information defines whether or not a component is included in the predetermined configuration unit information in the corresponding nickname information.
method.
In paragraph 1,
The above predetermined configuration unit information includes Korean vowels and consonants.
method.
In paragraph 1,
The above predetermined configuration unit information includes English alphabets,
method.
In paragraph 1,
The above predetermined configuration unit information includes Arabic numerals.
method.
A computing device that performs a method of detecting multiple access accounts by using similarity between nicknames,
A processor comprising at least one core; and
A memory containing program codes executable by said processor;
Including,
The above processor:
Obtaining multiple component information from multiple nickname information based on predetermined configuration unit information,
Generating a nickname matrix using the above plurality of component information, wherein the nickname matrix includes a plurality of vector information corresponding to each of the above plurality of component information,
Using the above nickname matrix, the similarity between nickname information is determined - the similarity is determined by the Jaccard distance between two vector information corresponding to two nickname information -,
Using the above similarity, a group of similar nicknames is determined, and
Determining the target accounts for sanctions among the above similar nickname groups,
Computing device.
A computer program stored in a computer-readable storage medium, wherein the computer program, when executed on one or more processors, performs operations for performing a method of detecting multiple access accounts by using similarity between nicknames, the method comprising:
A step of obtaining a plurality of component information from a plurality of nickname information based on predetermined configuration unit information, wherein the nickname matrix includes a plurality of vector information corresponding to each of the plurality of component information;
A step of generating a nickname matrix using the above plurality of component information;
A step of determining the similarity between nickname information using the above nickname matrix, wherein the similarity is determined by the Jaccard distance between two vector information corresponding to two nickname information;
A step of determining a group of similar nicknames using the above similarity; and
A step for determining an account to be sanctioned among the above similar nickname groups;
Including,
A computer program stored on a computer-readable storage medium.